|
" Lie group machine learning / "
Li Fanzhang, Zhang Li, Zhang Zhao.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
863390
|
| Main Entry
|
:
|
Li, Fanzhang
|
| Title & Author
|
:
|
Lie group machine learning /\ Li Fanzhang, Zhang Li, Zhang Zhao.
|
| Publication Statement
|
:
|
Berlin ;Boston :: Walter de Gruyter, GmbH,, 2018.
|
|
|
:
|
, ©2019
|
| Page. NO
|
:
|
1 online resource (xvi, 517 pages) :: illustrations
|
| ISBN
|
:
|
3110498073
|
|
|
:
|
: 3110499509
|
|
|
:
|
: 9783110498073
|
|
|
:
|
: 9783110499506
|
|
|
:
|
311050068X
|
|
|
:
|
9783110500684
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
| Contents
|
:
|
Lie group machine learning model -- Lie group subspace orbit generation learning -- Symplectic group learning -- Quantum group learning -- Lie group fibre bundle learning -- Lie group covering learning -- Lie group deep structure learning -- Lie group semi-supervised learning -- Lie group kernel learning -- Tensor learning -- Frame bundle connection learning -- Spectral estimation learning -- Finsler geometric learning -- Homology boundary learning -- Category representation learning -- Neuromorphic synergy learning.
|
| Abstract
|
:
|
This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artificial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning.
|
| Subject
|
:
|
Lie groups.
|
| Subject
|
:
|
Machine learning.
|
| Subject
|
:
|
COMPUTERS-- General.
|
| Subject
|
:
|
Lie groups.
|
| Subject
|
:
|
Machine learning.
|
| Dewey Classification
|
:
|
006.3/1
|
| LC Classification
|
:
|
Q325.5
|
|
|
:
|
Q325.5.L52 2018e
|
| Added Entry
|
:
|
Zhang, Li,School of Computer Science and Technology, Soochow University, China
|
|
|
:
|
Zhang, Zhao, (Computer scientist)
|
| |